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MLOps: A leader's perspective // Stephen Galsworthy // MLOps Coffee Sessions #39

MLOps: A leader's perspective // Stephen Galsworthy // MLOps Coffee Sessions #39

FromMLOps.community


MLOps: A leader's perspective // Stephen Galsworthy // MLOps Coffee Sessions #39

FromMLOps.community

ratings:
Length:
54 minutes
Released:
May 18, 2021
Format:
Podcast episode

Description

Coffee Sessions #39 with Stephen Galsworthy of Quby, MLOps: A leader's perspective.

//Abstract  

//Bio
Dr. Stephen Galsworthy is a data leader skilled at building high-performing teams and passionate about developing data-powered products with lasting impact on users, businesses, and society.  

Most recently he was the Chief Data and Product Officer at Quby, an Amsterdam-based tech company offering data-driven energy services. He oversaw its transformation from a hardware-based business to a digital organization with data and AI at its core. He put in place a central cloud-based data infrastructure and unified analytics platform to collect and take advantage of petabytes of IoT data. His team deployed real-time monitoring and energy insight services for 500k homes across Europe.   

Stephen has a Master’s degree and Ph.D. in Mathematics from Oxford University and has been leading data science teams since 2011.

//Takeaways
MLOps as a process, people, and technological problem.  
Experiences from a team working at the forefront of data and AI.

--------------- ✌️Connect With Us ✌️ -------------
Join our slack community: https://go.mlops.community/slack
Follow us on Twitter: @mlopscommunity
Sign up for the next meetup: https://go.mlops.community/register

Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/
Connect with Vishnu on LinkedIn: https://www.linkedin.com/in/vrachakonda/
Connect with Stephen on LinkedIn: https://www.linkedin.com/in/galsworthy/
Released:
May 18, 2021
Format:
Podcast episode

Titles in the series (100)

Weekly talks and fireside chats about everything that has to do with the new space emerging around DevOps for Machine Learning aka MLOps aka Machine Learning Operations.